Man pages for irt
Item Response Theory and Computerized Adaptive Testing Functions
| add_misc | Add or change a named value to 'misc' slot of an... |
| area_between_icc | Calculate the area between two ICC curves |
| as.data.frame | Convert an 'Item-class' object into a 'data.frame'. |
| as.data.frame.cat_output | Convert a 'cat_output' object into a 'data.frame'. |
| as.data.frame.Response | Convert a 'Response-class' object into a 'data.frame'. |
| as.data.frame.Response_set | Convert a 'Response_set-class' object into a long format... |
| as.Itempool | Coerce a given object to 'Itempool-class' object |
| as.list.Itempool | This function converts Itempool objects to a list object |
| as.list.Response_set | This function converts Response_set objects to a list object |
| as.matrix-Response_set-method | Convert a 'Response_set-class' object into a 'matrix' |
| biserial | Calculate biserial correlation |
| c | Concatenate 'Item', 'Itempool' or 'Testlet' objects and... |
| calculate_exposure_rates | Calculate exposure rate of items for CAT |
| calculate_overlap_rates | Calculate overlap rate of items for CAT |
| cash-.cat_output | Prints the raw output of cat_sim |
| cash-Item-method | Get slots from an 'Item-class' object. |
| cash-Itempool-method | Get slots of the an 'Itempool-class' object. |
| cash-Response-method | Get slots of the an 'Response-class' object. |
| cash-Response_set-method | Get slots of the a 'Response_set-class' object. |
| cash-set-Item-method | Set values to parameters or components of 'Item-class' object |
| cash-set-Itempool-method | Set values to parameters or components of 'Itempool' class. |
| cash-set-Response-method | Set values to components of 'Response' class objects |
| cash-set-Response_set-method | Set values to components of 'Response_set' class objects |
| cash-set-Testlet-method | Set values to parameters or components of 'Testlet-class'... |
| cash-Testlet-method | Access slots of a 'Testlet-class' object |
| cat_sim | Computerized Adaptive Test (CAT) Simulation |
| cat_sim_fast | Computerized Adaptive Test (CAT) Simulation (Parallel... |
| c.cat_design | Concatenate 'cat_design' objects |
| classification_agreement_index | Calculate agreement index |
| classification_indices | Calculate classification accuracy and consistency |
| convert_model | Convert model parameters from one model to another |
| create_cat_design | Computerized Adaptive Test (CAT) Simulation Design |
| cusum_single | CUSUM based statistics for one examinee |
| dif | Evaluate Differential Item Functioning (DIF) of a test |
| distractor_analysis | Distractor Analysis Function |
| dot-print.Testlet | Print a 'Testlet-class' object |
| equate_stuirt | IRT Scale Transformation using STUIRT Program |
| est_ability | Estimate Examinee Ability |
| est_bilog | Item Calibration via BILOG-MG |
| est_flexmirt | Unidimensional Item Calibration via flexMIRT |
| est_irtpro | Item Calibration via IRTPRO |
| est_winsteps | Estimate Rasch Model using Winsteps |
| generate_ip | Generate a random 'Itempool' object |
| generate_item | Generate a random Item object |
| generate_resp | Generate random item responses (Response object) |
| generate_resp_set | Generate a random item responses (Response_set object) |
| generate_testlet | Generate a random Testlet object |
| get_cat_administered_items | Get administered items from a CAT output |
| get_cat_response_data | Extracts the response data of CAT output. |
| get_max_possible_total_score | Calculate the maximum score of a set of items |
| GPCM2-class | Reparameterized Generalized Partial Credit Model |
| GPCM-class | Generalized Partial Credit Model |
| GRM-class | Graded Response Model |
| info | Calculates the information of an "Item" object |
| ipd | Item Parameter Drift |
| irt1PL | One-Parameter Logistic IRT model |
| irt2PL | Two-Parameter Logistic IRT model |
| irt3PL | Three-Parameter Logistic IRT model |
| irt4PL | Three-Parameter Logistic IRT model |
| irt-package | irt: Item Response Theory and Computerized Adaptive Testing... |
| is | Check whether an object is an 'Item-class' |
| item | Create an 'Item' object |
| item_analysis | Item Analysis Function |
| Item-class | An S4 class to represent an Item |
| item_fit | Calculate item-fit indices |
| itempool | Create an 'Itempool' object |
| Itempool-class | An S4 class to represent an Itempool |
| kappa_coef | Calculate Cohen's Kappa Coefficient |
| ks | Item Characteristic Curve Estimation using Kernel Smoothing |
| length | Find the length of an 'Itempool-class' object |
| M2PL | Multidimensional Two-Parameter Logistic Model |
| M3PL | Multidimensional Three-Parameter Logistic Model |
| max_score | Calculate the maximum possible score |
| mean.Item | Calculate the expected value of an Item |
| mean.Itempool | Calculate the expected value of an Itempool |
| mean.Testlet | Calculate the expected value of an Testlet |
| PCM-class | Partial Credit Model |
| person_fit | Calculate person-fit indices |
| plot.cat_output | Plot progress of a CAT algorithm for one examinee |
| plot_distractor_icc | Plot Empirical Item or Test characteristic curve |
| plot_empirical_icc | Plot Empirical Item characteristic curve |
| plot_empirical_icc2 | Plot Empirical Item Characteristic Curve |
| plot_info | Plot Item Information Function |
| plot.Item | Plot Item Characteristic Curve of an 'Item' object |
| plot.Itempool | Plot Item Characteristic Curves or Test Characteristic Curve... |
| plot.ks_output | Plot Item Fit using Kernel-Smoothing |
| plot_resp_loglik | Plot the Log-Likelihood of a response string |
| point_biserial | Calculate point-biserial correlation |
| print.bilog_output | Prints 'bilog_output' objects |
| print.cat_design | Prints cat_design objects. |
| print.cat_output | This method prints an "cat_output" class object |
| print-Item-method | Print an 'Item-class' object |
| print-Itempool-method | Show an 'Itempool-class' object |
| print-Response-method | Show an 'Response-class' object |
| print-Response_set-method | Print a 'Response_set-class' object |
| prob | Calculate the probability of a correct response |
| prob_sum_score | Calculate summed-score probabilities |
| qip_index | Calculate Quality of Item Pool Index |
| Rasch-class | Rasch model |
| resp_lik | Likelihood of a response string |
| resp_loglik | Log-likelihood of a Response String |
| response | Create a Response object from a vector of responses |
| Response-class | An S4 class representing responses of a single examinee |
| response_set | Create 'Response_set-class' object |
| Response_set-class | An S4 class representing responses of a set of examinees |
| rmsd | Calculate Root Mean Square Deviation (RMSD) (or Root Mean... |
| rsss | Convert raw score to scale score and vice versa |
| score_info | Calculate Score Information Function |
| score_raw_resp | Score Raw Responses |
| show | Show an 'Item-class' object |
| show.cat_output | This method shows an "cat_output" class object |
| sim_resp | Generate responses for a given model |
| sub-Itempool-ANY-missing-method | Subset 'Itempool' objects |
| subset-response_set | Subset 'Response_set' objects |
| sub-sub-Itempool-numeric-missing-method | Subset 'Itempool' objects |
| sub-sub-Response_set-numeric-missing-method | Subset 'Response_set' objects |
| sub-subset-Itempool-numeric-missing-method | Set the elements of an 'Itempool' objects. |
| sub-subset-Response_set-numeric-missing-method | Set the elements of an 'Response_set' objects. |
| sub-subset-Testlet-numeric-missing-method | This function sets the elements of a Testlet objects. |
| sub-sub-Testlet-numeric-missing-method | Access the items of a 'Testlet-class' object. |
| sub-Testlet-ANY-missing-method | Subset 'Testlet-class' object |
| summary.cat_output | Summarizes the raw output of cat_sim |
| summary.list | If a list object consists of all "cat_output" objects, then... |
| testlet | Creates a 'Testlet-class' object |
| Testlet-class | An S4 class to represent a Testlet |
| var.Item | Calculate the variance of an Item |
| var.Itempool | Calculate the variances of items in an Itempool |
| var.Testlet | Calculate the variances of items in a Testlet |
